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pro vyhledávání: '"94(83)"'
Autor:
Kordzadeh A; Department of Vascular, Endovascular and Renal Access, Mid Essex Hospitals Services NHS Trust, Broomfield Hospital, Essex, UK., Hanif MA; Department of Interventional Radiology, Mid Essex Hospitals Services NHS Trust, Broomfield Hospital, Essex, UK., Ramirez MJ; Department of Vascular, Endovascular and Renal Access, Mid Essex Hospitals Services NHS Trust, Broomfield Hospital, Essex, UK., Railton N; Department of Interventional Radiology, Mid Essex Hospitals Services NHS Trust, Broomfield Hospital, Essex, UK., Prionidis I; Department of Vascular, Endovascular and Renal Access, Mid Essex Hospitals Services NHS Trust, Broomfield Hospital, Essex, UK., Browne T; Department of Vascular, Endovascular and Renal Access, Mid Essex Hospitals Services NHS Trust, Broomfield Hospital, Essex, UK.
Publikováno v:
Vascular [Vascular] 2021 Apr; Vol. 29 (2), pp. 171-182. Date of Electronic Publication: 2020 Aug 24.
Autor:
Thomas Browne, Ali Kordzadeh, Nicholas Railton, Ioannis Prionidis, Mohammad A Hanif, Manfred J. Ramirez
Publikováno v:
Vascular. 29:171-182
ObjectivesThe study evaluates the plausibility and applicability of prediction, pattern recognition and modelling of complications post-endovascular aneurysm repair (EVAR) by artificial intelligence for more accurate surveillance in practice.MethodsA